信息与计算科学专业的方向.doc

信息与计算科学培养方案（070102）(Information and Science Computing 070102)一、专业简介（、Major Introduction）本专业是由计算数学、运筹学与控制科学等学科交叉渗透而形成的一个新的理科专业。培养德智体全面发展，具有良好的数学基础和数学思维能力，掌握信息与计算科学的理论、方法和技能的专门人才。经过严格的数学思维和科学研究的训练，使毕业生成为能解决信息处理、科学与工程计算、控制和自动化、规划决策等中的实际问题的高级专门人才，能在科技、教育和经济金融等部门从事研究、教学、应用开发和管理工作，或继续攻读研究生学位。Information and Science Computing is a new interdisciplinary field of science formed by combining computing mathematics, and operational research and control theory. It is committed to train high-level talents with not only expertise in Information Theory and Computing Science, but also strong mathematical background and excellent mathematical way of thinking. After being strictly trained in mathematics and scientific research, the students will become experts in solving real problems in the field of information processing, scientific and engineering computing, control and automation, and planning and decision making. They will be qualified for in the fields of science and technology, education, economics and finance, working as researchers, teachers, application developers and administrators. They will make themselves competitive in pursuing higher degree in the graduate school. 二、培养目标（、Academic Objectives）本专业学生主要学习信息与计算科学的基本理论、方法和技能，具备在信息与计算科学领域从事科学研究、教学、解决实际问题及软件开发等方面的基本能力和较强的知识更新能力。 Students in this major are going to learn basic knowledge, methods and techniques in the field of information and science computing. They are expected to have the basic capability of doing research, teaching, solving practical problems and developing software in this filed, and also the capability of keeping updated with the latest knowledge and technology.三、培养要求（、Academic Requirement）毕业生应达到以下要求： 1具有良好的数学基础，掌握信息与计算科学的基础理论和基本方法； 2能熟练使用计算机（包括常用语言、工具及专业软件），具有基本的算法分析、设计能力和较强的编程能力； 3能运用所学的理论、方法和技能解决应用领域中的某些实际问题； 4掌握文献检索、资料查询的基本方法，了解信息与计算科学理论、技术及应用的新发展，具有一定的科学研究和软件开发能力。 The graduates are required to be qualified in the following:1. Well trained with the fundamental knowledge in mathematics; proficient with the basic theory and methods in the field of Information and Science Computing. 2. Proficient with computer skills (including widely used programming languages and professional software); be capable of analyzing and designing algorithms; be professional in computer programming.3. Be capable of solving practical problems using the theory, methods and techniques learned in this filed.4. Familiar with literature search and data collection; follows the latest development in theory, technology and application in the field of Information and Science Computing; be capable of doing research and developing software. 四、学制与学位（、Length of Schooling and Degree）学制四年。按计划要求完成学业者，授予理学学士学位。Years of Study: 4 yearsStudents who complete all required courses will be conferred the bachelors degree.五、学时与学分（、Hours/Credits）总学分：144 (Total Credits：144 )课程教学学时/学分：2144 /131占总学分的比例：90 (Curriculum Class Hours/Credits：2144 /131Percentage in Total Credits：90 %)六、专业主干课程（、Main Courses）数学分析、解析几何、高等代数、常微分方程、概率论、复变函数论、实变函数论、数学物理方程、数值计算方法、运筹学基础、线性系统理论。 Mathematical Analysis, Analytical Geometry, Advanced Algebra, Ordinary Differential Equations, Probability Theory, Function of Complex Variable, Real Function Theory, Mathematical Equation in Physics, Numerical Computing Methods, Basics of Operational Research and Linear System Theory.七、主要专业实验和实习安排（、Main Laboratory and Practice）各相关课程的计算机上机实验。Computer practices for related courses. 八、专业优势及特色（、Major Predominance and characteristics）本专业有计算数学、运筹学和控制科学三个专业方向，有一批国内外知名专家在该专业任教。计算数学学科是由六十年代数学系的计算数学专门化组发展起来的，1981年被首批批准为硕士点, 1986年被批准为博士点， 1994年被批准为山东省重点学科,2006年再次被评为省重点学科。以本 学科为主体的山东大学科学与工程计算实验室和山东大学计算机软件实验室 1998年被批准为山东省高等学校重点实验室。山东大学是我国运筹学与控制论学科的发源地之一。早在上世纪60年代初就设立了运筹学与控制论学科，是国家首批博士、硕士学位授权点（1981）；是“八五”“九五”山东省重点学科；是首批国家重点学科（2001）。2007年顺利通过新一轮国家重点学科评估。该专业培养具有良好的数学基础和数学思维能力，掌握信息与计算科学的理论、方法和技能，能解决信息处理和科学与工程计算实际问题的高级专业人才。毕业生除到党政机关、高等院校、科研部门从事教学、科研、管理工作外，还可到银行、证券投资公司、计算机公司、保险公司或其他高新技术企业从事软件开发、市场调研与分析、电子设备、网络安全、网络维护与运行管理等工作。 主要课程: 数学分析、解析几何、高等代数、常微分方程、概率论、复变函数、实变函数、数学物理方程、程序设计和算法语言、数据库与数据结构、软件工程、数值逼近、数值代数、计算机网络技术、理论力学、证券组合优化、经济预测、运筹学、图论与网络优化、自动控制理论、线性系统理论、系统辨识与参数估计等。This major includes three research fields: computing mathematics, operations research and control theory. There are many famous experts teaching in these fields in the School of Mathematics.The major of Science of Computing Mathematics in the School of Mathematics was built based on the computing mathematics research group in the 1960s. This major was authorized to confer Master Degree in 1981, and was authorized to award PhD in 1986. In 1994 and 2006, this major was twice recognized as Provincial Key Subject. The science and engineering computing lab and the computer software lab in the Shandong University, which were built mainly based on this major, were recognized as the Key Collage Lab of Shandong Province in 1998. Shandong University is one of the founders of this field in China. The major of Operations Research and Control Theory, founded early in 1960s first as a research group, was among the earliest institutes that were authorized to confer the Master degree and PhD degree in China (in 1981). The major was selected as the Provincial Key Subject of “Eighty Five” and “Ninety Five” and one of the first recognized as the National Key Subject. In 2007, we passed the latest qualification of the National Key Subject.This major is committed to train high-level talents not only with strong mathematics foundation and excellent mathematical way of thinking, but also professional in theory of Information, Computing Science, and be capable of solving problems in Information Processing, Science and Engineering Computing. The graduates will be qualified for working in the fields of government departments, colleges, and research departments as teachers, researchers, administrators. They are also expected to be capable of doing works about software development, market survey and analysis, electronic devices, internet security, internet maintaining and management and so on in banks, securities and investment companies, computer companies, insurance companies and other high-technology enterprises. The courses in this major mainly includes the following: Mathematical Analysis, Analytical Geometry, Advanced Algebra, Ordinary Differential Equations, Probability Theory, Function of Complex Variable, Real Function Theory, Mathematical Equation in Physics, Algorithms Designing and Programming Language, Database and Data Structure, Software Engineering, Numerical Approximation, Numerical Algebra, Computer Network Technology, theoretical mechanics, Security Combinatorial Optimization, Economic Forecasts, Operational Research, Graph Theory and Network Optimization, Automatic Control Theory, Linear System Theory, System Argue and Parameter Estimate and so on. 九、各类课程学时学分比例（、The proportion of credit hours of courses）计算数学方向课程类别学分学时占总学分百分比必修通识教育必修课程116.5322077+9周77181%22%学科基础平台课程111928%专业平台课程4572031%专业方向基础课23.539416%实践环节59周4%选修通识教育核心课程27.51044816019%7%通识教育选修课程6964%专业方向选修课程11.51928%毕业要求总合计1442525+9周100%运筹学方向课程类别学分学时占总学分百分比必修通识教育必修课程116322051+9周77181%22%学科基础平台课程111928%专业平台课程4572031%专业方向基础课2336816%实践环节59周4%选修通识教育核心课程281044816019%7%通识教育选修课程6964%专业方向选修课程121928%毕业要求总合计1442499+9周100%控制科学方向课程类别学分学时占总学分百分比必修通识教育必修课程115322035+9周77180%22%学科基础平台课程111928%专业平台课程4572031%专业方向基础课2235215%实践环节59周4%选修通识教育核心课程291046416020%7%通识教育选修课程6964%专业方向选修课程132089%毕业要求总合计1442499+9周100%十、教学进程、学时学分总体安排（见下表）（、Curriculum, hours and credits）信息与计算科学专业课程设置及学时分配表 总表类别性质课程号Course No.课 程 名 称Course Name学分数总学时总学时分配按 学 期 周 学 时 分 配备 注Notes授课实验上机一学期二学期三学期四学期五学期六学期七学期八学期通识教育必修课程必修课程28050001中国化的马克思主义Chinese Marxism358483课外1028030001道德与法律Morals and Law358483课外1028040001马克思主义原理Basic Principles of Marxism358483课外10中国近现代史纲要Brief of Chinas Modern History1.529241.5课外5310020（1-3）4大学英语(二级起点1-3)College English(1-3)924096962+22+22+2自主学习48290410（1-4）0体育(1-4)Physical Educational (1-4)4128128111113103000大学计算机基础Introduction of Computer232322计算机技术基础Foundation of Computer Technologies36432322+269001001军事理论Military Theory232322形势政策与社会实践(1-6)Trend, Policy and Social Practice(1-6)1.57224111111课外48小 计Subtotal3277151296329+29+44+2514课外131通识教育核心课程选修课程课组号国学修养类Traditional Chinese Culture Group232322必修课组号创新创业类Innovation and Entrepreneurship Education Group232322课组号艺术审美类Art Aesthetic 232322课组号人文学科类Humanities Group232322理工类必修课组号社会科学类Social Sciences Group232322小计Subtotal101601604244通识教育选修课程通识教育选修课General Education Selective69696222小计Subtotal696962222学科基础平台课程必修课程100160(1-2)0大学物理College Physics 8128128441001610大学物理实验College Physics Lab1323211大学化学College Chemistry 232322大平台课程小计Subtotal1119216032552090990(1-3)0数学分析（1-3）Mathematical Analysis（1-3）162562564+15+14+1090440(1-2)1高等代数（1-2）Advanced Algebra（1-2）914414444+109064001解析几何Analytical Geometry464644*09018000常微分方程Ordinary Differential Equations46464409038000复变函数Function of Complex Variable464644*09088000实变函数Real Function Theory46464409040000概率论Probability Theory464644*小平台课程小计Subtotal4572072012+19+212+18专业课程选修课程“计算数学方向”专业基础课组Computational Mathematic Compulsory Group23.5394368161184+1表二 “运筹学方向”专业基础课组Operational research Compulsory Group233683681112表三 “控制科学方向”专业基础课组Cybernetics Compulsory Group223523521183表四“计算数学方向”选修课组Computational Mathematic Elective Group11.5/153.5192/2592176/240016/1767+14+12/26+24/443/42+22+1/30+4表二“运筹学方向”选修课组Operational research Elective Group12/161192/2720192/25121927+14+12/30+23/396/46+32/32+4表三“控制科学方向”选修课组Cybernetics Elective Group13/1572082656208/24481927+14+14/30+24/403/46+32/27+4表四平台选修课组Platform elective course group1016012832624表五实践活动必修课程69002001军训Military Training03周3周09009500毕业论文Graduation Thesis56周6周*小计Subtotal59周3周6周（计算数学）合 计Total1442525+9周21921286425+3+3周23+623+31916189+12+1+6周（运筹学）合 计Total1442499+9周22081283225+3+3周23+623+319162182+6周（控制科学）合 计Total1442499+9周22081283225+3+3周23+623+319181882+6周备注：1.本表必修课部分为专业（大类）必修课（所有学生必须学习的）课程设置表，即综合教务系统中的课程计划表。2.选修课部分为课组设置表，即综合教务系统中的课组计划表。3.课程号栏目中必修课部分为课程号，选修课部分为课组号。计算数学方向的专业课程设置及学时分配表(课组课程) 表二类别性质课组号Course group number课程号Course No.课 程 名 称Course Name学分数总学时总学时分配按 学 期 周 学 时 分 配备注专业课组名称Specialized group name授课实验上机一学期二学期三学期四学期五学期六学期七学期八学期09094000数理统计Mathematical Statistics34848309092000数理方程Mathematical Equation in Physics4646440902009033000泛函分析Functional Analysis4646440902009112001数值计算方法Numerical Computing Methods464644*0902009108000数值逼近Numerical Approximation4646440902009129000微分方程数值解Numerical Solution of Differential Equation4.59064164+1小计Subtotal23.5394368161184+1专业选修课组选修课程0902109095000数论基础Fundamentals of Number Theory464644计算数学Computational Mathematic0902009104000数学实验 Mathematics Lab2323220902009148000运筹学基础Basics of Operational Research464644*0902009138000线性系统理论Linear System Theory464644*0902109155000自动控制原理Principle of Automatic Control4646440902109082000软件工程Software Engineering4646440902109074000力学基础Foundation of Mechanics4646440901009131001计算机原理Principles of Computer2.54832162+10901009001000C+程序语言C+ Programming Language3.56448163+10902112106000模拟电路Simulated Circuits4646440902109101001数学模型Mathematical Modeling4646440902109182000Fortran语言Fortran Language2.54832162+10902109089000数据结构Data Structure4646440902109002000FoxPro数据库系统FoxPro Database System4646440902109156000最优化方法Optimization Method4646440902112122000数字电路Digital circuits4.58064164+10902109114000数字信号处理Digital Signal Processing4646440902109067000计量经济学Econometrics4646440902109130000微分几何Differential Geometry4646440902109066000近世代数Modern Algebra4646440902109173000统计软件Statistic Software3.56448163+10902109007000保险精算Actuarial Mathematics4646440902109065000金融数学Financial Mathematics464644*0902109073000利息理论Accrual Theory4646440902109134000系统辨识与参数估计System Argue and Parameter Estimate3484830902109123000通讯原理Communication Principle4646440902109180000微分动力系统Differential Dynamics3484830901109059002计算机网络技术Computer Network Technology2.5.6448162+10902109061001计算机信息管理系统Computer Info Management System2.54832162+10902109107000数学专题Topic on Mathematics4646440902109063300计算实习Computational Practice2.54832162+10902109069000经济预测Economic Forecasts3484830902109103000数学内容方法和意义Mathematics Its Content Method and Meaning2323220902109165000数学史History of Mathematics23232220902109167000数学前沿讲座Lectures on Modern Mathematics23232110902109157000最优控制Optimal Control3484830902109183000有限元方法Finite Element Method3484830902109181001模拟与Monto-Carlo方法Analogue and Monto-Carlo Method3484830902109186000数学文化Mathematical Culture2323220902109059000计算机网络基础Foundation of Computer Networks2.54832162+1*0901109162000Java 语言Java Language2.54832162+10902109075000漏洞扫描技术 Hole Scan Technique2323220902109184000数字签名与认证技术Digital Signature and Certification Technique2323220902109012000病毒防治与黑客防范技术Virus Prevention and Hacker Keep away Technology2323220902109076000密码实现技术Password Realization Technique23232209189000代数表示论Algebra Representation Theory3484830909100数据库与数据结构*Database and Data Structure46448164*09145000应用密码学*Applied Cryptography46448164*小计Subtotal11.5/153.5192/2592176/240016/1767+14+12/26+24/443/42+22+1/30+4运筹学方向的专业课程设置及学时分配表(课组课程) 表三类别性质课组号Course group number课程号Course No.课 程 名 称Course Name学分数总学时总学时分配按 学 期 周 学 时 分 配备注专业课组名称Specialized group name授课实验上机一